As a recent daily user, prismatic is awesome. The way they leverage twitter is pretty interesting, mixing in "endorsements" to articles from both people close to you, famous people, and random people, in a way that keeps it interesting. There's also fairly heavy machine learning going on behind the scenes, in a way that is non intrusive. Congratulations to those guys.
Thanks, Alex. What do you mean about the non intrusive point - something about the ongoing interactions within the product or things like bootstrapping interests from twitter?
The only thing about it that I really dislike is that there's no option to delete or cancel your account (a trend with startups). I don't fall to the silly excuse that it's in beta or that they'll have such options "soon". This should be there since day 1. Shows respect for the user/tester and sends the message that your information/data is yours to keep/remove whenever you want. Keep in mind that this is not a criti…
I agree, and we're on it. We're only just now allowing more people into the product and it's still a long way from being openly available publicly.
With young companies and products, it's tough to balance all the constraints with the goals. We've spent a lot of time to learn what our users really love about the product. We agree that we need to get a profile out very soon, but we're happy we've put the core of the product first from the beginning.
Signed up last time this popped up but didn't jump in (bad timing).. Just kicking the tiers, the suggestions are really hitting the right spot. Just a suggestion - I'd really like another button - read - with an action like the "dont like" button, so I cam just sit there clicking next next next without scrolling down (that said, the vim keys to jump between stories is awesome!!)
As a recent daily user, prismatic is awesome. The way they leverage twitter is pretty interesting, mixing in "endorsements" to articles from both people close to you, famous people, and random people, in a way that keeps it interesting. There's also fairly heavy machine learning going on behind the scenes, in a way that is non intrusive. Congratulations to those guys.
Thanks, Alex. What do you mean about the non intrusive point - something about the ongoing interactions within the product or things like bootstrapping interests from twitter?
By non-intrusive I meant that I have no idea what kind of ML is really going on behind the scenes. In this sense it's very different from interacting with, say, Netflix's recommender, or youtube's ad predictor (a friend "liked" a vodka ad once and is now assumed to be an alcoholic), where you really do need to build a mental model of what the ML is doing to effectively use the site. With prismatic I don't seem to need to care.